메뉴 건너뛰기




Volumn 42, Issue 1-2, 2003, Pages 139-148

Smoothing parameter selection for smoothing splines: A simulation study

Author keywords

Exact double smoothing; Nonparametric regression; Plug in methods; Risk estimation; Roughness penalty; Smoothing parameter; Smoothing splines

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; REGRESSION ANALYSIS; RISK ASSESSMENT;

EID: 0037454091     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(02)00159-7     Document Type: Article
Times cited : (70)

References (15)
  • 1
    • 0000679636 scopus 로고
    • Some stabilized bandwidth selectors for nonparametric regression
    • Chiu, S.-T., 1991. Some stabilized bandwidth selectors for nonparametric regression. Ann. Statist. 19, 1528-1546.
    • (1991) Ann. Statist. , vol.19 , pp. 1528-1546
    • Chiu, S.-T.1
  • 2
    • 77956890515 scopus 로고
    • An automatic bandwidth selector for kernel density estimation
    • Chiu, S.-T., 1992. An automatic bandwidth selector for kernel density estimation. Biometrika 79, 771-782.
    • (1992) Biometrika , vol.79 , pp. 771-782
    • Chiu, S.-T.1
  • 7
    • 0001079479 scopus 로고
    • Regression smoothing parameters that are not far from their optimum
    • Härdle, W., Hall, P., Marron, J.S., 1992. Regression smoothing parameters that are not far from their optimum. J. Amer. Statist. Assoc. 87, 227-233.
    • (1992) J. Amer. Statist. Assoc. , vol.87 , pp. 227-233
    • Härdle, W.1    Hall, P.2    Marron, J.S.3
  • 8
    • 0001354983 scopus 로고    scopus 로고
    • Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion
    • Hurvich, C.M., Simonoff, J.S., Tsai, C.-L., 1998. Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. J. Roy. Statist. Soc. Ser. B 60, 271-293.
    • (1998) J. Roy. Statist. Soc. Ser. B , vol.60 , pp. 271-293
    • Hurvich, C.M.1    Simonoff, J.S.2    Tsai, C.-L.3
  • 9
    • 0035251275 scopus 로고    scopus 로고
    • A stabilized bandwidth selection method for kernel smoothing of the periodogram
    • Lee, T.C.M., 2001. A stabilized bandwidth selection method for kernel smoothing of the periodogram. Signal Process. 81, 419-430.
    • (2001) Signal Process. , vol.81 , pp. 419-430
    • Lee, T.C.M.1
  • 10
    • 0033262473 scopus 로고    scopus 로고
    • Bandwidth selection for local linear regression: A simulation study
    • Lee, T.C.M., Solo, V., 1999. Bandwidth selection for local linear regression: a simulation study. Comput. Statist. 14, 515-532.
    • (1999) Comput. Statist. , vol.14 , pp. 515-532
    • Lee, T.C.M.1    Solo, V.2
  • 12
    • 84947934780 scopus 로고
    • An effective bandwidth selector for local least squares regression
    • Ruppert, D., Sheather, S.J., Wand, M.P., 1995. An effective bandwidth selector for local least squares regression. J. Amer. Statist. Assoc. 90, 1257-1270.
    • (1995) J. Amer. Statist. Assoc. , vol.90 , pp. 1257-1270
    • Ruppert, D.1    Sheather, S.J.2    Wand, M.P.3
  • 14
    • 0034555628 scopus 로고    scopus 로고
    • A comparison of regression spline smoothing procedures
    • Wand, M.P., 2000. A comparison of regression spline smoothing procedures. Comput. Statist. 15, 443-462.
    • (2000) Comput. Statist. , vol.15 , pp. 443-462
    • Wand, M.P.1
  • 15
    • 0000008221 scopus 로고    scopus 로고
    • Exact risk approaches to smoothing parameter selection
    • Wand, M.P., Gutierrez, R.G., 1997. Exact risk approaches to smoothing parameter selection. J. Nonparametric Statist. 8, 337-354.
    • (1997) J. Nonparametric Statist. , vol.8 , pp. 337-354
    • Wand, M.P.1    Gutierrez, R.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.